TY - GEN
T1 - A unified framework for Web link analysis
AU - Chen, Zheng
AU - Tao, Li
AU - Wang, Jidong
AU - Liu, Wenyin
AU - Ma, Wei-Ying
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2002
Y1 - 2002
N2 - Web link analysis has been proved to significantly enhance the precision of Web searching in practice. Among existing approaches, Kleinberg's (1998) HITS and Google's PageRank are the two most representative algorithms that employ explicit hyperlink structure among Web pages to conduct link analysis, and DirectHit represents the other extreme that takes the user's access frequency as an implicit link to the Web page for assessing its importance. We propose a novel link analysis algorithm which puts both explicit and implicit link structures under a unified framework, and show that HITS and DirectHit are essentially two extreme instances of our proposed method. One important advantage of our method is its ability to analyze not only the hyperlinks between Web pages but also the interactions between users and the Web at the same time. The importance of Web pages and users can reinforce each other to improve Web link analysis. Compared with traditional HITS and DirectHit algorithms, our method further improves the search precision by 11.8% and 25.3%. © 2002 IEEE.
AB - Web link analysis has been proved to significantly enhance the precision of Web searching in practice. Among existing approaches, Kleinberg's (1998) HITS and Google's PageRank are the two most representative algorithms that employ explicit hyperlink structure among Web pages to conduct link analysis, and DirectHit represents the other extreme that takes the user's access frequency as an implicit link to the Web page for assessing its importance. We propose a novel link analysis algorithm which puts both explicit and implicit link structures under a unified framework, and show that HITS and DirectHit are essentially two extreme instances of our proposed method. One important advantage of our method is its ability to analyze not only the hyperlinks between Web pages but also the interactions between users and the Web at the same time. The importance of Web pages and users can reinforce each other to improve Web link analysis. Compared with traditional HITS and DirectHit algorithms, our method further improves the search precision by 11.8% and 25.3%. © 2002 IEEE.
UR - https://www.scopus.com/pages/publications/84961204843
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84961204843&origin=recordpage
U2 - 10.1109/WISE.2002.1181644
DO - 10.1109/WISE.2002.1181644
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0769517668
SN - 9780769517667
T3 - WISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering
SP - 63
EP - 70
BT - WISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering
PB - IEEE
T2 - 3rd International Conference on Web Information Systems Engineering, WISE 2002
Y2 - 12 December 2002 through 14 December 2002
ER -